Keyword Search
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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Markov chain Monte Carlo returned 44 record(s)
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Monday, 07/30/2018
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Bayesian Phylogenetic Inference via Particle Gibbs Sampler with Ancestor Sampling
Shijia Wang, Simon Fraser University; Liangliang Wang, Simon Fraser University
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Sequential Modeling of Spatial Temporal Image Data
Shufei Ge, Simon Fraser University; Shijia Wang, Simon Fraser University; Liangliang Wang, Simon Fraser University; Farouk Nathoo, University of Victoria
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EAinference: An R Package for Simulation-Based Inference via Estimator Augmentation
Seunghyun Min, UCLA; Qing Zhou, UCLA
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A Normalizing Function Emulation Approach for Doubly Intractable Distributions
Jaewoo Park, Pennsylvania State University; Murali Haran, Penn State University
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Bayesian Variable Selection of Stochastic Volatility Models in Financial Time Series
Feng Chi Liu
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Pseudo-Marginal Markov Chain Monte Carlo via Random Riemann Sums for Stochastically Scaled Gaussian Vectors
Patrick Muchmore
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Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University
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Robust Pulsar Timing Inference with Non-Gaussian Distributions
Hyungsuk Tak, SAMSI; Justin A. Ellis, West Virginia University; Sujit Ghosh, North Carolina State Univ.
8:55 AM
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Multilevel Monte Carlo for Inference
Kody Law, Oak Ridge National Laboratory
9:35 AM
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Bayesian Framework for Embedded Model Error Representation and Quantification
Khachik Sargsyan, Sandia National Labs/California; Xun Huan, Sandia National Labs/California; Habib Najm, Sandia National Labs/California
10:55 AM
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Pseudo-Marginal Markov Chain Monte Carlo via Random Riemann Sums for Stochastically Scaled Gaussian Vectors
Patrick Muchmore
11:05 AM
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Constructing a Synthetic Population for Community Profiling Using Publicly Available Data
Joshua Goldstein, Social and Decision Analytics Laboratory, Virginia Tech; David Higdon, Virginia Tech
11:15 AM
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Beyond Random-Walk MCMC for Bayesian Phylogenetics
Frederick Matsen, Fred Hutchinson Cancer Research Center
11:35 AM
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Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University
11:50 AM
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Practical Bayesian Inference for Record Linkage
Brendan McVeigh, Carnegie Mellon University; Jared S Murray, University of Texas at Austin
2:45 PM
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Tuesday, 07/31/2018
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Predicting the Count of Tropical Storms with Bayesian Model Averaging
Joyee Ghosh, University of Iowa
8:50 AM
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Bayesian Inference for Conditional Copulas Using Gaussian Process Single Index Models
Radu V Craiu, University of Toronto; Evgeny Levi, University of Toronto
9:00 AM
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Integrated Analysis of the Life-Cycle Interactions Between Health and Socioeconomic Status
Ivan Jeliazkov, University of California - Irvine; Angela Vossmeyer, Claremont McKenna College
10:55 AM
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Variational Hamiltonian Monte Carlo via Score Matching
Cheng Zhang, Fred Hutchinson Cancer Research Center
11:25 AM
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Flexible Bayesian Quantile Regression in Ordinal Models
Mohammad Arshad Rahman, Indian Institute of Technology Kanpur; Shubham Karnawat, Credit Suisse
11:35 AM
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AAA: Triple-Adaptive Bayesian Designs for the Identification of Optimal Dose Combinations in Dual-Agent Dose-Finding Trials
Jiaying Lyu, University of Chicago; Fudan University; Yuan Ji, NorthShore Univ. HealthSystem / The University of Chicago
11:55 AM
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A Conditional Test for Homogeneity of Several Order-Restricted Normal Mean Vectors
Madhurima Majumder, Bayer Pharmaceuticals; Michael McDermott, University of Rochester Medical Center
12:05 PM
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Hierarchical Bayesian Analysis for Stochastic Frontier Production Function Model
Seongho Song, University of Cincinnati; Younshik Chung, Pusan National University; David Taesok Yi, Xavier University
2:05 PM
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A New Diagnostic for MCMC Output Analysis
Nathan Lane Robertson, University of California, Riverside; James Flegal, University of California, Riverside
2:35 PM
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Fully Bayesian Analysis of Hierarchical Count Regression Models
Jarad Niemi, Iowa State University; William Landau, Eli Lilly and Company; Dan Nettleton, Iowa State University
2:50 PM
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Bayesian Inference for Multistate Step-and-Turn Animal Movement in Continuous Time
Alison Parton, University of Sheffield; Paul G Blackwell, University of Sheffield
2:55 PM
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Wednesday, 08/01/2018
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Estimating Efficacies of Supplementary Immunization Activities via Discrete Time Modeling of Disease Incidence Time Series
Qi Dong, University of Washington; Jon Wakefield, Univ of Washington; Kevin McCarthy, Institute for Disease Modeling; Niket Thakkar, Institute for Disease Modeling; Kurt Frey, Institute for Disease Modeling
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Convergence Complexity Analysis of Albert and Chib's Algorithm
Qian Qin, University of Florida; James P. Hobert, University of Florida
8:35 AM
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MCMC for High-Dimensional Bayesian Regression
Dootika Vats
8:55 AM
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Multivariate Output Analysis for Markov Chain Monte Carlo
James Flegal, University of California, Riverside
9:15 AM
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Estimating Efficacies of Supplementary Immunization Activities via Discrete Time Modeling of Disease Incidence Time Series
Qi Dong, University of Washington; Jon Wakefield, Univ of Washington; Kevin McCarthy, Institute for Disease Modeling; Niket Thakkar, Institute for Disease Modeling; Kurt Frey, Institute for Disease Modeling
9:20 AM
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AAA: Triple-Adaptive Bayesian Designs for the Identification of Optimal Dose Combinations in Dual-Agent Dose-Finding Trials
Yuan Ji, NorthShore Univ. HealthSystem / The University of Chicago; Jiaying Lyu, Fudan Universtiy
11:35 AM
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Bayesian Nonparametrics for Evolutionary Model Selection
Mandev Gill
11:55 AM
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Inference on the Future State of the Climate Through Combining Multiple Interdependent Climate Model Outputs with Observations Using Bayesian Hierarchical Models
Huang Huang, SAMSI; Dorit Hammerling, National Center for Atmospheric Research; Bo Li, University of Illinois at Urbana-Champaign; Richard Smith, Statistical Applied Mathematical Sciences Institute
2:20 PM
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Teaching Markov Chains Using Java Applets
Jeffrey S Rosenthal, University of Toronto
2:45 PM
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Thursday, 08/02/2018
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A Hierarchical Bayesian Markov-Dependent Model for Lifetime Persistence and Recurrence of Major Depressive Episodes
Chenyang Gu, Harvard Medical School; Alan Zaslavsky, Harvard University Medical School; Ronald Kessler, Harvard Medical School
8:35 AM
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Latent Space Approaches to Community Detection in Dynamic Networks
Yuguo Chen, University of Illinois at Urbana-Champaign; Daniel Sewell, University of Iowa
9:15 AM
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Estimating Clusters from Multivariate Binary Data via Hierarchical Bayesian Boolean Matrix Factorization
Zhenke Wu, University of Michigan; Livia Casciola-Rosen, Johns Hopkins University School of Medicine; Antony Rosen, Johns Hopkins University School of Medicine; Scott Zeger, Johns Hopkins Biostatistics
9:20 AM
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Spatial Modeling of Diffusion Tensor Imaging Data from a Cocaine Addiction Study
Dipankar Bandyopadhyay, Virginia Commonwealth University; Zhou Lan, North Carolina State University; Brian Reich, North Carolina State University; Joseph Guinness, NC State University
9:55 AM
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Bayesian Logistic Regression Model for Sub-Areas
Lu Chen, Worcester Polytechnic Institute; Balgobin Nandram, Worcester Polytechnic Institute
10:50 AM
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Bayesian Analysis with Orthogonal Matrix Parameters
Michael Jauch, Duke University; Peter Hoff, Duke University; David B Dunson, Duke University
11:05 AM
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Bayesian Single-Index Model for Bounded Mental Health Response with Functional Covariates
Debajyoti Sinha, Florida State University; STUART LIPSITZ, HARVARD MEDICAL SCHOOL
11:50 AM
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